Snowfire vs Snowflake: an executive layer on top of your data cloud
Snowflake is a data cloud where data teams store, govern, and query company data, with Cortex AI for building AI on that data. Snowfire is built for C-suite executives and their teams. It connects to Snowflake and the other systems your business runs on, then tells each executive what changed, why, and what to do next. The two work together rather than replace each other.
750+ connectorsAbout 24 hours to first lookSOC 2 Compliant
Why compare Snowfire and Snowflake?
Snowflake and Snowfire are often named together, but they sit at different layers. Snowflake's AI Data Cloud stores and processes data at scale, and its Cortex AI features, such as Cortex Analyst for natural-language questions over semantic models and Cortex Search, help data teams build AI applications on governed data. Snowfire is the executive layer on top. Snowflake is one of its 750+ connectors, with a first look at your data in about 24 hours, alongside CRM, ERP, finance, and SaaS systems whose data may never reach the warehouse. Snowfire adds External Signals on competitors, news, and regulation, and speaks first through Signals.
Snowfire and Snowflake, side by side
| Feature | Snowfire | Snowflake |
|---|---|---|
| Built for | C-suite executives and their teams | Data engineers, analysts, and data scientists who build on governed data |
| Layer | Executive intelligence: Signals, External Signals, and Metrics | Data platform: storage, compute, governance, and data sharing |
| How they connect | Snowflake is one of 750+ Snowfire connectors | Holds data that pipelines and partner tools load from other systems |
| AI features | Signals tell each executive what changed, why, and what to do next | Cortex AI: LLM functions, Cortex Analyst, and Cortex Search for building AI applications on Snowflake data |
| Outside the business | External Signals: competitors, news, and regulation | Third-party datasets that teams can add from Snowflake Marketplace |
| Where it runs | Cloud, your private cloud (VPC), or on premises | Managed service on AWS, Microsoft Azure, and Google Cloud |
| Time to first value | About 24 hours to first look | Depends on the data loading and modeling work your data team plans |
Want to see the difference on your own decisions?
Which one fits?
Choose Snowfire if you:
- Want C-suite executives and their teams told what changed, why, and what to do next
- Need internal performance and the market around it (competitors, news, regulation) in one view
- Want warehouse data and systems outside it covered by 750+ connectors
- Want one agreed definition for each metric across the leadership team
- Want a first look at your data in about 24 hours
Choose Snowflake if you:
- Need a governed platform to store, process, and share data at scale
- Have data engineers building pipelines, models, and AI applications
- Want Cortex AI features that run next to your data in Snowflake
- Want to share data with partners or add datasets from Snowflake Marketplace
Why choose Snowfire?
- Works on top of Snowflake. Snowfire connects to Snowflake as one of 750+ connectors, so executives use the warehouse your data team already runs.
- Beyond the warehouse. Systems outside Snowflake, such as CRM, ERP, and SaaS apps, connect directly, with a first look at your data in about 24 hours.
- Briefings, not queries. Signals tell each executive what changed, why, and what to do next, with External Signals on competitors, news, and regulation.
Questions
Is Snowfire a replacement for Snowflake?
No. Snowflake is a data platform and Snowfire is an executive layer that can sit on top of it. Snowfire connects to Snowflake as one of its 750+ connectors, so your data team keeps its warehouse and executives get briefings from it.
Snowflake has Cortex AI. Why add Snowfire?
Cortex AI gives data teams building blocks, such as LLM functions, Cortex Analyst, and Cortex Search, to build AI applications on Snowflake data. Snowfire is built for executives: it watches the systems the business runs on plus External Signals on competitors, news, and regulation, and tells each executive what changed, why, and what to do next.
Does our data have to be in Snowflake for Snowfire to use it?
No. Snowfire connects to Snowflake and to systems outside it, such as CRM, ERP, finance, and SaaS apps, across 750+ connectors, with a first look at your data in about 24 hours.
Where does Snowfire run?
Snowfire can run in the cloud, in your private cloud (VPC), or on premises.